Alternatives and similar repositories for Bokeh-Python-Visualization

Users that are interested in Bokeh-Python-Visualization are comparing it to the libraries listed below

• bokeh / bokeh-notebooks
  Interactive Web Plotting with Bokeh in IPython notebook
  ☆734Updated last year
• altair-viz / altair-tutorial
  Notebooks for the Altair tutorial
  ☆360Updated 5 years ago
• amyoshino / Dash_Tutorial_Series
  Series of videos to cover important topics in Plotly Dash framework. Building an interactive app from scratch + cool tips and functionali…
  ☆127Updated 6 years ago
• fonnesbeck / intro_stat_modeling_2017
  Introduction to Statistical Modeling with Python (PyCon 2017)
  ☆169Updated 4 years ago
• davidcomfort / dash_sample_dashboard
  Build a Complex Reporting Dashboard using Dash and Plotly
  ☆218Updated 2 years ago
• PatrikHlobil / Pandas-Bokeh
  Bokeh Plotting Backend for Pandas and GeoPandas
  ☆887Updated last year
• plotly / dash-oil-and-gas-demo
  Dash Demo App - New York Oil and Gas
  ☆193Updated last year
• amueller / scipy-2018-sklearn
  Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
  ☆248Updated 6 years ago
• plotly / jupyterlab-dash
  An Extension for the Interactive development of Dash apps in JupyterLab
  ☆360Updated 5 years ago
• urgedata / pythondata
  repo for code published on pythondata.com
  ☆123Updated 6 years ago
• neerjad / DataVisualization
  Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph
  ☆269Updated 5 years ago
• justmarkham / pycon-2018-tutorial
  Using pandas for Better (and Worse) Data Science
  ☆324Updated 6 years ago
• justinbois / dc_stat_think
  Utility functions used in the DataCamp Statistical Thinking courses.
  ☆48Updated 4 years ago
• jupyter-widgets / tutorial
  A tutorial for widgets
  ☆404Updated 11 months ago
• LeiG / Applied-Predictive-Modeling-with-Python
  A collection of notebook to learn the Applied Predictive Modeling using Python.
  ☆279Updated 8 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 8 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆104Updated 3 years ago
• AnnaNican / optimizers
  examples of lp optimization in python
  ☆170Updated 5 years ago
• jbwhit / jupyter-tips-and-tricks
  Using Project Jupyter for data science.
  ☆259Updated 4 years ago
• etcrago / Tutorial-Arima-w-jeffrey-yau
  ☆98Updated 6 years ago
• MridulS / pydata-networkx
  [Archived! Check out http://ericmjl.github.io/Network-Analysis-Made-Simple/] A short tutorial on network analysis using Game of Thrones, …
  ☆69Updated 4 years ago
• tkrabel / edaviz
  edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
  ☆225Updated 5 years ago
• FilippoBovo / production-data-science
  Production Data Science: a workflow for collaborative data science aimed at production
  ☆454Updated 5 years ago
• aprilypchen / depy2016
  ☆110Updated 9 years ago
• ipython-books / cookbook-2nd-code
  Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
  ☆738Updated 3 years ago
• plotly / dash-recipes
  A collection of scripts and examples created while answering questions from the greater Dash community
  ☆1,072Updated 4 years ago
• amueller / ml-workshop-1-of-4
  Introduction to Machine learning with Python, 4h interactive workshop
  ☆311Updated 5 years ago
• StephenElston / ExploringDataWithPython
  Methods of data exploration and visualization using Python.
  ☆142Updated 5 years ago
• kjam / data-cleaning-101
  Data Cleaning Libraries with Python
  ☆290Updated last year
• flavianh / dashboards-frameworks-comparison
  ☆77Updated 7 years ago